programmatically upload /textless_hr\_es

README.md

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+---
+library_name: fairseq
+task: audio-to-audio
+tags:
+- fairseq
+- audio
+- audio-to-audio
+- speech-to-speech-translation
+license: cc-by-nc-4.0
+---
+You can try out the model on the right of the page by uploading or recording.
+For model usage, please refer to https://huggingface.co/facebook/textless_sm_cs_en

config.yaml

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+data_root: N/A
+input_channels: 1
+input_feat_per_channel: 80
+multitask:
+  source_unit:
+    data: N/A
+    decoder_type: transformer
+    dict: N/A
+    encoder_layer: 6
+    loss_weight: 8.0
+    target_type: text
+output_channels: 1
+output_feat_per_channel: 1
+output_feat_reduction_rate: 0
+output_sample_rate: 16000
+specaugment:
+  freq_mask_F: 27
+  freq_mask_N: 1
+  time_mask_N: 1
+  time_mask_T: 100
+  time_mask_p: 1.0
+  time_wrap_W: 0
+transforms:
+  _eval:
+  - utterance_cmvn
+  _train:
+  - utterance_cmvn
+  - specaugment
+vocoder:
+  dur_prediction: true
+  model_path: N/A
+  speaker: false
+  type: code_hifigan
+hub:
+  input_type: fbank80_w_utt_cmvn
+  tts_model_id: pytorch/fairseq:ust:unit_hifigan_mhubert_vp_en_es_fr_it3_400k_layer11_km1000_lj_dur
+  unit_vocoder: true
+  generation_args:
+      beam: 10
+      max_len_a: 1

config_multitask.yaml

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+source_unit:
+  data: N/A
+  decoder_type: transformer
+  dict: dict.txt
+  encoder_layer: 6
+  loss_weight: 8.0
+  target_type: text

dict.txt

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model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:30300fcd8e5308781d9d04b1dcbc836be675f2b94045acf45e62236ea222eac6
+size 846598921